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otsad: A package for online time-series anomaly detectors

Alaiñe Iturria, Jacinto Carrasco, Santi Charramendieta, Angel Conde, Francisco Herrera

Neurocomputing


21/01/2020

This paper presents otsad, the first R package which implements a set of novel online detection algorithms for univariate time-series. Moreover, this package also provides advanced functionalities and contents such as new false positive reduction algorithm and the novel NAB detectors measurement technique which is specifically designed to measure online time-series anomaly detectors.

DOI / link: https://doi.org/10.1016/j.neucom.2019.09.032

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